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library(dplyr)

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library(ggplot2)

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library(tidyverse)

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library(lubridate)
library(mapview)

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library(sf)

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## Linking to GEOS 3.9.3, GDAL 3.5.2, PROJ 8.2.1; sf_use_s2() is TRUE

library(geojsonio)

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library(leaflet)

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library(broom)

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library(plotly)

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#library(rmapzen)
#options(RMAPZEN_SEARCH_HOST = "geosearch.planninglabs.nyc")
#Sys.setenv("MAPZEN_KEY" = NA)
#mz_set_search_host_nyc_geosearch()


#library(devtools)
#install_github('ramnathv/rCharts')

fire_data <- read.csv("datasets/Fire_Incident_Dispatch_Data_last_50k.csv")
alarm_box_loc <- read.csv("datasets/Alarm_Box_Locations.csv")
firefighter_stations <- read.csv("datasets/fdny-firehouse-listing.csv")

fire_data$ALARM_BOX_NUMBER <- as.character(fire_data$ALARM_BOX_NUMBER)
fire_data$INCIDENT_BOROUGH <- as.factor(fire_data$INCIDENT_BOROUGH)
fire_data$INCIDENT_CLASSIFICATION_GROUP <- as.factor(fire_data$INCIDENT_CLASSIFICATION_GROUP)
 
fire_data <- fire_data %>% rename(al_number = ALARM_BOX_NUMBER, borough = INCIDENT_BOROUGH, al_location = ALARM_BOX_LOCATION, incident_class = INCIDENT_CLASSIFICATION_GROUP)

firefighter_stations$Borough <- as.factor(firefighter_stations$Borough)
firefighter_stations <- firefighter_stations %>% rename(borough = Borough)

alarm_box_loc_new <- alarm_box_loc %>% select(BOROBOX, LATITUDE, LONGITUDE) %>% 
                        rename(al_number = BOROBOX, lat = LATITUDE, lon = LONGITUDE)

fire_data <- fire_data %>%
  mutate(al_number = str_pad(al_number, width = 4, pad = "0"))


fire_data$total_unit_assigned <- fire_data$ENGINES_ASSIGNED_QUANTITY + fire_data$LADDERS_ASSIGNED_QUANTITY + fire_data$OTHER_UNITS_ASSIGNED_QUANTITY

fire_data_new <- fire_data %>%
  mutate(al_number = case_when(
    borough == "BRONX" ~ paste0("X", al_number),
    borough == "BROOKLYN" ~ paste0("B", al_number),
    borough == "MANHATTAN" ~ paste0("M", al_number),
    borough == "QUEENS" ~ paste0("Q", al_number),
    borough == "RICHMOND / STATEN ISLAND" ~ paste0("R", al_number),
    TRUE ~ al_number
  ))

fire_data_merged <- merge(fire_data_new, alarm_box_loc_new, by = "al_number", all.x = TRUE)

fire_data_merged <- na.omit(fire_data_merged)
firefighter_stations <- na.omit(firefighter_stations)

alarm_inc_count <- fire_data_merged %>%
                    group_by(al_number, lat, lon, al_location) %>%
                    summarise(Count = n()) %>%
                    rename(incident_count = Count)

## `summarise()` has grouped output by 'al_number', 'lat', 'lon'. You can override
## using the `.groups` argument.

alarm_inc_count_sdf <- st_as_sf(alarm_inc_count, coords = c("lon", "lat"), crs = 4326)

stations_borough <- firefighter_stations %>%
                    group_by(borough) %>%
                    summarise(Count = n()) %>%
                    rename(number_of_stations = Count)

count_inc_brough <- count(fire_data_merged, borough)
count_inc_brough <- count_inc_brough %>% rename(incident_count = n)
count_inc_brough <- count_inc_brough %>% mutate(borough = recode_factor(borough, "BRONX" = "Bronx", "BROOKLYN" = "Brooklyn", "MANHATTAN" = "Manhattan", "QUEENS" = "Queens", "RICHMOND / STATEN ISLAND" = "Staten Island"))

stations_borough$incident_per_station <- round(count_inc_brough$incident_count / stations_borough$number_of_stations, digits = 3)

count_inc_brough <- merge(count_inc_brough, stations_borough, by="borough")

firefighter_stations <- firefighter_stations %>% rename(lat = Latitude, lon = Longitude)
firefighter_stations_sdf <- st_as_sf(firefighter_stations, coords = c("lon", "lat"), crs = 4326)
head(firefighter_stations_sdf)

## Simple feature collection with 6 features and 10 fields
## Geometry type: POINT
## Dimension:     XY
## Bounding box:  xmin: -74.01252 ymin: 40.70347 xmax: -73.9929 ymax: 40.71976
## Geodetic CRS:  WGS 84
##                                              FacilityName       FacilityAddress
## 1                                      Engine 4/Ladder 15       42 South Street
## 2                                     Engine 10/Ladder 10    124 Liberty Street
## 3                                                Engine 6     49 Beekman Street
## 4 Engine 7/Ladder 1/Battalion 1/Manhattan Borough Command  100-104 Duane Street
## 5                                                Ladder 8 14 North Moore Street
## 6                                       Engine 9/Ladder 6       75 Canal Street
##     borough Postcode Community.Board Community.Council Census.Tract     BIN
## 1 Manhattan    10005               1                 1            7 1000867
## 2 Manhattan    10006               1                 1           13 1075700
## 3 Manhattan    10038               1                 1         1501 1001287
## 4 Manhattan    10007               1                 1           33 1001647
## 5 Manhattan    10013               1                 1           33 1002150
## 6 Manhattan    10002               3                 1           16 1003898
##          BBL
## 1 1000350001
## 2 1000520022
## 3 1000930030
## 4 1001500025
## 5 1001890035
## 6 1003000030
##                                                                           NTA
## 1 Battery Park City-Lower Manhattan                                          
## 2 Battery Park City-Lower Manhattan                                          
## 3 Battery Park City-Lower Manhattan                                          
## 4 SoHo-TriBeCa-Civic Center-Little Italy                                     
## 5 SoHo-TriBeCa-Civic Center-Little Italy                                     
## 6 Chinatown                                                                  
##                     geometry
## 1 POINT (-74.00754 40.70347)
## 2 POINT (-74.01252 40.71007)
## 3 POINT (-74.00525 40.71005)
## 4 POINT (-74.00594 40.71546)
## 5 POINT (-74.00668 40.71976)
## 6  POINT (-73.9929 40.71521)

Downloand of the GEO JSON

geojson_newyork <- geojson_read("datasets/NYC_BoroughBoundaries.geojson",  what = "sp")
geojson_newyork <- setNames(geojson_newyork, c("borough_code", "borough", "shape_area", "shape_leng"))
geojson_newyork$borough <- as.factor(geojson_newyork$borough)
geojson_newyork$borough_code <- NULL
head(geojson_newyork)

## class       : SpatialPolygonsDataFrame 
## features    : 5 
## extent      : -74.25559, -73.70001, 40.49613, 40.91553  (xmin, xmax, ymin, ymax)
## crs         : +proj=longlat +datum=WGS84 +no_defs 
## variables   : 3
## names       :       borough,    shape_area,    shape_leng 
## min values  :         Bronx,  1187174772.5,  325917.35395 
## max values  : Staten Island, 636520502.758, 888199.731385

geojson_newyork@data = data.frame(geojson_newyork@data, count_inc_brough[match(geojson_newyork@data$borough, count_inc_brough$borough),])
geojson_newyork@data$borough.1 <- NULL

mapview(list(firefighter_stations_sdf, geojson_newyork),
        zcol = list(NULL, "incident_count"),
        legend = list(FALSE, TRUE),
        homebutton = list(FALSE, TRUE), layer.name = list(NULL, "indicents_number"), alpha.regions = 0.5, aplha = 1)

mapview(list(alarm_inc_count_sdf, geojson_newyork),
        zcol = list("incident_count", "borough"),
        legend = list(TRUE, TRUE),
        homebutton = list(TRUE, TRUE),
        layer.name = list("incident_count", "brorough"),
        alpha.regions = list(0.7, 0.4), 
        aplha = list(1, 0.5))

distribution of incident per incident class

alarm_inc_bor_class_count <- fire_data_new %>%
                              group_by(incident_class, al_number, borough) %>%
                              summarise(Count = n())

## `summarise()` has grouped output by 'incident_class', 'al_number'. You can
## override using the `.groups` argument.

ggplot(data=alarm_inc_bor_class_count, aes(x=borough, y=Count, fill=incident_class)) +
    geom_bar(stat="identity", position=position_dodge())

ggplot(fire_data, aes(x = borough, y = INCIDENT_RESPONSE_SECONDS_QY, color = incident_class)) +  # ggplot function
  geom_boxplot()

## Warning: Removed 14112 rows containing non-finite values (`stat_boxplot()`).

fire_data[which.max(fire_data$INCIDENT_RESPONSE_SECONDS_QY), ]

##        STARFIRE_INCIDENT_ID      INCIDENT_DATETIME ALARM_BOX_BOROUGH al_number
## 12031 230911-M1252-001-0693 09/11/2023 11:40:54 AM         MANHATTAN      1252
##                  al_location   borough ZIPCODE POLICEPRECINCT
## 12031 COLUMBUS AVE & W 98 ST MANHATTAN   10025             24
##       CITYCOUNCILDISTRICT COMMUNITYDISTRICT COMMUNITYSCHOOLDISTRICT
## 12031                   7               107                       3
##       CONGRESSIONALDISTRICT ALARM_SOURCE_DESCRIPTION_TX
## 12031                    12                     EMS-911
##       ALARM_LEVEL_INDEX_DESCRIPTION HIGHEST_ALARM_LEVEL INCIDENT_CLASSIFICATION
## 12031                DEFAULT RECORD         First Alarm Medical - PD Link 10-91
##            incident_class DISPATCH_RESPONSE_SECONDS_QY
## 12031 Medical Emergencies                            8
##       FIRST_ASSIGNMENT_DATETIME FIRST_ACTIVATION_DATETIME
## 12031    09/11/2023 11:41:02 AM    09/11/2023 11:41:09 AM
##       FIRST_ON_SCENE_DATETIME INCIDENT_CLOSE_DATETIME
## 12031  09/11/2023 01:39:44 PM  09/11/2023 01:48:36 PM
##       VALID_DISPATCH_RSPNS_TIME_INDC VALID_INCIDENT_RSPNS_TIME_INDC
## 12031                              N                              N
##       INCIDENT_RESPONSE_SECONDS_QY INCIDENT_TRAVEL_TM_SECONDS_QY
## 12031                         7130                          7122
##       ENGINES_ASSIGNED_QUANTITY LADDERS_ASSIGNED_QUANTITY
## 12031                         2                         0
##       OTHER_UNITS_ASSIGNED_QUANTITY total_unit_assigned
## 12031                             0                   2

ggplot(fire_data, aes(x = borough, y = INCIDENT_TRAVEL_TM_SECONDS_QY, color = incident_class)) +  # ggplot function
  geom_boxplot()

## Warning: Removed 14112 rows containing non-finite values (`stat_boxplot()`).

ggplot(fire_data, aes(x = borough, y = ENGINES_ASSIGNED_QUANTITY, color = incident_class)) +  # ggplot function
  geom_boxplot()

## Warning: Removed 62 rows containing non-finite values (`stat_boxplot()`).

fire_data %>% arrange(desc(ENGINES_ASSIGNED_QUANTITY)) %>% slice(1:2)

##    STARFIRE_INCIDENT_ID      INCIDENT_DATETIME ALARM_BOX_BOROUGH al_number
## 1 230916-B3375-005-0342 09/16/2023 11:29:43 AM          BROOKLYN      3375
## 2 230924-B0994-001-0003 09/24/2023 12:05:21 AM          BROOKLYN      0994
##                      al_location  borough ZIPCODE POLICEPRECINCT
## 1              AVENUE W & E 3 ST BROOKLYN   11223             61
## 2 MARCY AVE AVE & MAC DONOUGH ST BROOKLYN   11216             79
##   CITYCOUNCILDISTRICT COMMUNITYDISTRICT COMMUNITYSCHOOLDISTRICT
## 1                  44               315                      21
## 2                  36               303                      13
##   CONGRESSIONALDISTRICT ALARM_SOURCE_DESCRIPTION_TX
## 1                     8                       PHONE
## 2                     8                       PHONE
##   ALARM_LEVEL_INDEX_DESCRIPTION HIGHEST_ALARM_LEVEL
## 1                  Second Alarm        Second Alarm
## 2                   Third Alarm         Third Alarm
##              INCIDENT_CLASSIFICATION   incident_class
## 1 Multiple Dwelling 'A' - Other fire Structural Fires
## 2 Multiple Dwelling 'A' - Other fire Structural Fires
##   DISPATCH_RESPONSE_SECONDS_QY FIRST_ASSIGNMENT_DATETIME
## 1                           34    09/16/2023 11:30:17 AM
## 2                           23    09/24/2023 12:05:45 AM
##   FIRST_ACTIVATION_DATETIME FIRST_ON_SCENE_DATETIME INCIDENT_CLOSE_DATETIME
## 1    09/16/2023 11:30:30 AM  09/16/2023 11:32:09 AM  09/16/2023 06:59:35 PM
## 2    09/24/2023 12:05:51 AM  09/24/2023 12:08:16 AM  09/24/2023 09:39:22 AM
##   VALID_DISPATCH_RSPNS_TIME_INDC VALID_INCIDENT_RSPNS_TIME_INDC
## 1                              N                              Y
## 2                              N                              Y
##   INCIDENT_RESPONSE_SECONDS_QY INCIDENT_TRAVEL_TM_SECONDS_QY
## 1                          146                           111
## 2                          174                           151
##   ENGINES_ASSIGNED_QUANTITY LADDERS_ASSIGNED_QUANTITY
## 1                        19                        15
## 2                        18                        13
##   OTHER_UNITS_ASSIGNED_QUANTITY total_unit_assigned
## 1                            32                  66
## 2                            25                  56

09/16/2023 06:59:35 PM, structural fires, source incident phone, url of the incident https://www.cbsnews.com/newyork/news/gravesend-brooklyn-fire-injuries/ 09/24/2023 12:05:21 AM, structural fires, source incident phone, url of the incident https://abc7ny.com/three-injured-in-fire-bedford-stuyvesant-beford-stuyvesant-brooklyn-fdny/13823430/

ggplot(fire_data, aes(x = borough, y = LADDERS_ASSIGNED_QUANTITY, color = incident_class)) +  # ggplot function
  geom_boxplot()

## Warning: Removed 62 rows containing non-finite values (`stat_boxplot()`).

fire_data %>% arrange(desc(LADDERS_ASSIGNED_QUANTITY)) %>% slice(1:2)

##    STARFIRE_INCIDENT_ID      INCIDENT_DATETIME ALARM_BOX_BOROUGH al_number
## 1 230916-B3375-005-0342 09/16/2023 11:29:43 AM          BROOKLYN      3375
## 2 230924-B0994-001-0003 09/24/2023 12:05:21 AM          BROOKLYN      0994
##                      al_location  borough ZIPCODE POLICEPRECINCT
## 1              AVENUE W & E 3 ST BROOKLYN   11223             61
## 2 MARCY AVE AVE & MAC DONOUGH ST BROOKLYN   11216             79
##   CITYCOUNCILDISTRICT COMMUNITYDISTRICT COMMUNITYSCHOOLDISTRICT
## 1                  44               315                      21
## 2                  36               303                      13
##   CONGRESSIONALDISTRICT ALARM_SOURCE_DESCRIPTION_TX
## 1                     8                       PHONE
## 2                     8                       PHONE
##   ALARM_LEVEL_INDEX_DESCRIPTION HIGHEST_ALARM_LEVEL
## 1                  Second Alarm        Second Alarm
## 2                   Third Alarm         Third Alarm
##              INCIDENT_CLASSIFICATION   incident_class
## 1 Multiple Dwelling 'A' - Other fire Structural Fires
## 2 Multiple Dwelling 'A' - Other fire Structural Fires
##   DISPATCH_RESPONSE_SECONDS_QY FIRST_ASSIGNMENT_DATETIME
## 1                           34    09/16/2023 11:30:17 AM
## 2                           23    09/24/2023 12:05:45 AM
##   FIRST_ACTIVATION_DATETIME FIRST_ON_SCENE_DATETIME INCIDENT_CLOSE_DATETIME
## 1    09/16/2023 11:30:30 AM  09/16/2023 11:32:09 AM  09/16/2023 06:59:35 PM
## 2    09/24/2023 12:05:51 AM  09/24/2023 12:08:16 AM  09/24/2023 09:39:22 AM
##   VALID_DISPATCH_RSPNS_TIME_INDC VALID_INCIDENT_RSPNS_TIME_INDC
## 1                              N                              Y
## 2                              N                              Y
##   INCIDENT_RESPONSE_SECONDS_QY INCIDENT_TRAVEL_TM_SECONDS_QY
## 1                          146                           111
## 2                          174                           151
##   ENGINES_ASSIGNED_QUANTITY LADDERS_ASSIGNED_QUANTITY
## 1                        19                        15
## 2                        18                        13
##   OTHER_UNITS_ASSIGNED_QUANTITY total_unit_assigned
## 1                            32                  66
## 2                            25                  56

Same incidents of before

ggplot(fire_data, aes(x = borough, y = OTHER_UNITS_ASSIGNED_QUANTITY, color = incident_class)) +  # ggplot function
  geom_boxplot()

## Warning: Removed 62 rows containing non-finite values (`stat_boxplot()`).

fire_data %>% arrange(desc(OTHER_UNITS_ASSIGNED_QUANTITY)) %>% slice(1:2)

##    STARFIRE_INCIDENT_ID      INCIDENT_DATETIME ALARM_BOX_BOROUGH al_number
## 1 230916-B3375-005-0342 09/16/2023 11:29:43 AM          BROOKLYN      3375
## 2 230924-B0994-001-0003 09/24/2023 12:05:21 AM          BROOKLYN      0994
##                      al_location  borough ZIPCODE POLICEPRECINCT
## 1              AVENUE W & E 3 ST BROOKLYN   11223             61
## 2 MARCY AVE AVE & MAC DONOUGH ST BROOKLYN   11216             79
##   CITYCOUNCILDISTRICT COMMUNITYDISTRICT COMMUNITYSCHOOLDISTRICT
## 1                  44               315                      21
## 2                  36               303                      13
##   CONGRESSIONALDISTRICT ALARM_SOURCE_DESCRIPTION_TX
## 1                     8                       PHONE
## 2                     8                       PHONE
##   ALARM_LEVEL_INDEX_DESCRIPTION HIGHEST_ALARM_LEVEL
## 1                  Second Alarm        Second Alarm
## 2                   Third Alarm         Third Alarm
##              INCIDENT_CLASSIFICATION   incident_class
## 1 Multiple Dwelling 'A' - Other fire Structural Fires
## 2 Multiple Dwelling 'A' - Other fire Structural Fires
##   DISPATCH_RESPONSE_SECONDS_QY FIRST_ASSIGNMENT_DATETIME
## 1                           34    09/16/2023 11:30:17 AM
## 2                           23    09/24/2023 12:05:45 AM
##   FIRST_ACTIVATION_DATETIME FIRST_ON_SCENE_DATETIME INCIDENT_CLOSE_DATETIME
## 1    09/16/2023 11:30:30 AM  09/16/2023 11:32:09 AM  09/16/2023 06:59:35 PM
## 2    09/24/2023 12:05:51 AM  09/24/2023 12:08:16 AM  09/24/2023 09:39:22 AM
##   VALID_DISPATCH_RSPNS_TIME_INDC VALID_INCIDENT_RSPNS_TIME_INDC
## 1                              N                              Y
## 2                              N                              Y
##   INCIDENT_RESPONSE_SECONDS_QY INCIDENT_TRAVEL_TM_SECONDS_QY
## 1                          146                           111
## 2                          174                           151
##   ENGINES_ASSIGNED_QUANTITY LADDERS_ASSIGNED_QUANTITY
## 1                        19                        15
## 2                        18                        13
##   OTHER_UNITS_ASSIGNED_QUANTITY total_unit_assigned
## 1                            32                  66
## 2                            25                  56

Same incidents of before

ggplot(fire_data, aes(x = borough, y = total_unit_assigned, color = incident_class)) +  # ggplot function
  geom_boxplot()

## Warning: Removed 62 rows containing non-finite values (`stat_boxplot()`).

fire_data %>% arrange(desc(total_unit_assigned)) %>% slice(1:2)

##    STARFIRE_INCIDENT_ID      INCIDENT_DATETIME ALARM_BOX_BOROUGH al_number
## 1 230916-B3375-005-0342 09/16/2023 11:29:43 AM          BROOKLYN      3375
## 2 230924-B0994-001-0003 09/24/2023 12:05:21 AM          BROOKLYN      0994
##                      al_location  borough ZIPCODE POLICEPRECINCT
## 1              AVENUE W & E 3 ST BROOKLYN   11223             61
## 2 MARCY AVE AVE & MAC DONOUGH ST BROOKLYN   11216             79
##   CITYCOUNCILDISTRICT COMMUNITYDISTRICT COMMUNITYSCHOOLDISTRICT
## 1                  44               315                      21
## 2                  36               303                      13
##   CONGRESSIONALDISTRICT ALARM_SOURCE_DESCRIPTION_TX
## 1                     8                       PHONE
## 2                     8                       PHONE
##   ALARM_LEVEL_INDEX_DESCRIPTION HIGHEST_ALARM_LEVEL
## 1                  Second Alarm        Second Alarm
## 2                   Third Alarm         Third Alarm
##              INCIDENT_CLASSIFICATION   incident_class
## 1 Multiple Dwelling 'A' - Other fire Structural Fires
## 2 Multiple Dwelling 'A' - Other fire Structural Fires
##   DISPATCH_RESPONSE_SECONDS_QY FIRST_ASSIGNMENT_DATETIME
## 1                           34    09/16/2023 11:30:17 AM
## 2                           23    09/24/2023 12:05:45 AM
##   FIRST_ACTIVATION_DATETIME FIRST_ON_SCENE_DATETIME INCIDENT_CLOSE_DATETIME
## 1    09/16/2023 11:30:30 AM  09/16/2023 11:32:09 AM  09/16/2023 06:59:35 PM
## 2    09/24/2023 12:05:51 AM  09/24/2023 12:08:16 AM  09/24/2023 09:39:22 AM
##   VALID_DISPATCH_RSPNS_TIME_INDC VALID_INCIDENT_RSPNS_TIME_INDC
## 1                              N                              Y
## 2                              N                              Y
##   INCIDENT_RESPONSE_SECONDS_QY INCIDENT_TRAVEL_TM_SECONDS_QY
## 1                          146                           111
## 2                          174                           151
##   ENGINES_ASSIGNED_QUANTITY LADDERS_ASSIGNED_QUANTITY
## 1                        19                        15
## 2                        18                        13
##   OTHER_UNITS_ASSIGNED_QUANTITY total_unit_assigned
## 1                            32                  66
## 2                            25                  56

Same incidents of before

source_al_borough_class <- fire_data %>%
                            group_by(ALARM_SOURCE_DESCRIPTION_TX, incident_class, borough) %>%
                            summarise(Count = n()) %>%
                            rename(incidents_number = Count)

## `summarise()` has grouped output by 'ALARM_SOURCE_DESCRIPTION_TX',
## 'incident_class'. You can override using the `.groups` argument.

ggplot(source_al_borough_class, aes(x = borough, y = incidents_number, color = ALARM_SOURCE_DESCRIPTION_TX)) +  # ggplot function
  geom_boxplot()

DataVisualization - Fire Incident Dispatch Data Analysis

Zuliani Riccardo

5/1/2024

Dataset

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